Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 4215 Supervised Classification JapaneseVowels 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 11.176, build_memory: 1262805897.6753, f_measure: 0.9466, kappa: 0.9397, kb_relative_information_score: 90415.9187, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 3.1321, recall: 0.9468, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3331, scimark_benchmark: 641.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 19.7736, build_memory: 3354228132.2575, f_measure: 0.9502, kappa: 0.9439, kb_relative_information_score: 90522.6787, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 3.1321, recall: 0.9504, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3264, scimark_benchmark: 941.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 39.4536, build_memory: 1000949752.1835, f_measure: 0.9524, kappa: 0.9463, kb_relative_information_score: 90596.1999, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 3.1321, recall: 0.9526, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3224, scimark_benchmark: 909.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 63.9587, build_memory: 1170836371.1182, f_measure: 0.9535, kappa: 0.9476, kb_relative_information_score: 90639.1347, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9535, predictive_accuracy: 0.9537, prior_entropy: 3.1321, recall: 0.9537, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.3203, scimark_benchmark: 914.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 1783.9478, build_memory: 740342197.653, f_measure: 0.9575, kappa: 0.952, kb_relative_information_score: 90836.8341, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9577, predictive_accuracy: 0.9576, prior_entropy: 3.1321, recall: 0.9576, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3072, scimark_benchmark: 924.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 1325.0362, build_memory: 937912970.2477, f_measure: 0.9563, kappa: 0.9506, kb_relative_information_score: 90816.1577, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9565, predictive_accuracy: 0.9564, prior_entropy: 3.1321, recall: 0.9564, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.3088, scimark_benchmark: 778.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8917, kappa: 0.8776, kb_relative_information_score: 87953.2401, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8915, predictive_accuracy: 0.892, prior_entropy: 3.1321, recall: 0.892, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.476, scimark_benchmark: 1316.9728, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.0452, kb_relative_information_score: 5.9531, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0263, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8703, kappa: 0.8541, kb_relative_information_score: 85786.2747, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8699, predictive_accuracy: 0.8713, prior_entropy: 3.1321, recall: 0.8713, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.54, scimark_benchmark: 1445.6675, usercpu_time_millis: 156550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 156530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.2706, kappa: 0.1764, kb_relative_information_score: 22725.3733, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.27, predictive_accuracy: 0.2761, prior_entropy: 3.1321, recall: 0.2761, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.2807, scimark_benchmark: 1351.788, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9072, kappa: 0.8949, kb_relative_information_score: 89386.226, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.1321, recall: 0.9072, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4504, scimark_benchmark: 1341.2341, usercpu_time_millis: 2890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8973, kappa: 0.8859, kb_relative_information_score: 88704.4153, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8979, predictive_accuracy: 0.8994, prior_entropy: 3.1321, recall: 0.8994, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4775, scimark_benchmark: 1354.2491, usercpu_time_millis: 15480, usercpu_time_millis_testing: 10620, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8767, kappa: 0.8608, kb_relative_information_score: 85741.1746, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8764, predictive_accuracy: 0.8772, prior_entropy: 3.1321, recall: 0.8772, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.505, scimark_benchmark: 1319.9043, usercpu_time_millis: 3990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8613, kappa: 0.8434, kb_relative_information_score: 83398.2637, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.861, predictive_accuracy: 0.8618, prior_entropy: 3.1321, recall: 0.8618, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5117, scimark_benchmark: 1339.3974, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.871, kappa: 0.8538, kb_relative_information_score: 85769.4673, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 3.1321, recall: 0.871, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5407, scimark_benchmark: 1280.6952, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 1291.6995, usercpu_time_millis: 5960, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 5420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9055, kappa: 0.8947, kb_relative_information_score: 89619.0704, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9065, predictive_accuracy: 0.907, prior_entropy: 3.1321, recall: 0.907, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4589, scimark_benchmark: 942.6843, usercpu_time_millis: 9770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.94, kappa: 0.9321, kb_relative_information_score: 92584.4524, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 3.1321, recall: 0.9401, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.3173, scimark_benchmark: 1386.5717, usercpu_time_millis: 18100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9479, kappa: 0.941, kb_relative_information_score: 30162.3715, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.948, predictive_accuracy: 0.9479, prior_entropy: 3.1321, recall: 0.9479, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9002, scimark_benchmark: 1307.4861, usercpu_time_millis: 940, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8691, kappa: 0.8554, kb_relative_information_score: 29278.2579, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8733, predictive_accuracy: 0.8728, prior_entropy: 3.1321, recall: 0.8728, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9054, scimark_benchmark: 1312.3073, usercpu_time_millis: 371360, usercpu_time_millis_testing: 172580, usercpu_time_millis_training: 198780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9884, kb_relative_information_score: 98116.4496, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 3.1321, recall: 0.9898, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.153, scimark_benchmark: 1318.1432, usercpu_time_millis: 10630, usercpu_time_millis_testing: 10630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.9798, kb_relative_information_score: 97020.4009, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.1321, recall: 0.9821, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1928, scimark_benchmark: 1325.2092, usercpu_time_millis: 11900, usercpu_time_millis_testing: 11900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 825.5282, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 889.3151, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8808, kappa: 0.8651, kb_relative_information_score: 86763.453, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8808, predictive_accuracy: 0.8809, prior_entropy: 3.1321, recall: 0.8809, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4998, scimark_benchmark: 1318.1432, usercpu_time_millis: 540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9039, kappa: 0.8916, kb_relative_information_score: 86160.0282, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9036, predictive_accuracy: 0.9043, prior_entropy: 3.1321, recall: 0.9043, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4104, scimark_benchmark: 895.5332, usercpu_time_millis: 6740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9292, kappa: 0.9209, kb_relative_information_score: 79163.7369, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9297, predictive_accuracy: 0.9302, prior_entropy: 3.1321, recall: 0.9302, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4679, scimark_benchmark: 938.9967, usercpu_time_millis: 1070, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8539, kappa: 0.8352, kb_relative_information_score: 84145.9364, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 3.1321, recall: 0.8547, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4973, scimark_benchmark: 934.1747, usercpu_time_millis: 620, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8883, kappa: 0.8734, kb_relative_information_score: 86159.2601, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8892, predictive_accuracy: 0.8884, prior_entropy: 3.1321, recall: 0.8884, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4811, scimark_benchmark: 938.343, usercpu_time_millis: 14610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.4023, kappa: 0.3386, kb_relative_information_score: 5302.3532, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.6588, predictive_accuracy: 0.4171, prior_entropy: 3.1321, recall: 0.4171, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9931, scimark_benchmark: 932.0242, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7181, kappa: 0.6927, kb_relative_information_score: 16487.02, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7397, predictive_accuracy: 0.7278, prior_entropy: 3.1321, recall: 0.7278, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9441, scimark_benchmark: 916.6405, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 1262.9237, usercpu_time_millis: 42800, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 41450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7755, kappa: 0.747, kb_relative_information_score: 75737.5422, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7745, predictive_accuracy: 0.7768, prior_entropy: 3.1321, recall: 0.7768, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.64, scimark_benchmark: 1249.4068, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9531, kappa: 0.9476, kb_relative_information_score: 79740.8873, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.1321, recall: 0.9538, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4479, scimark_benchmark: 854.6529, usercpu_time_millis: 3930, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9564, kappa: 0.9513, kb_relative_information_score: 79815.2292, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9571, predictive_accuracy: 0.957, prior_entropy: 3.1321, recall: 0.957, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4446, scimark_benchmark: 1342.2985, usercpu_time_millis: 7270, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 6600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7079, kappa: 0.6844, kb_relative_information_score: 63639.025, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7114, predictive_accuracy: 0.722, prior_entropy: 3.1321, recall: 0.722, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6713, scimark_benchmark: 1059.8591, usercpu_time_millis: 5650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9296, kappa: 0.9208, kb_relative_information_score: 87669.3731, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 3.1321, recall: 0.9301, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3752, scimark_benchmark: 892.0148, usercpu_time_millis: 3350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8737, kappa: 0.8579, kb_relative_information_score: 85204.7443, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8733, predictive_accuracy: 0.8746, prior_entropy: 3.1321, recall: 0.8746, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5118, scimark_benchmark: 1328.8457, usercpu_time_millis: 6090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.5451, kappa: 0.5589, kb_relative_information_score: 44913.3796, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.5557, predictive_accuracy: 0.616, prior_entropy: 3.1321, recall: 0.616, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7983, scimark_benchmark: 1151.6869, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8966, kappa: 0.8835, kb_relative_information_score: 88357.2471, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8962, predictive_accuracy: 0.8972, prior_entropy: 3.1321, recall: 0.8972, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 1346.3935, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1064.8317, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9326, kappa: 0.9241, kb_relative_information_score: 87794.405, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9327, predictive_accuracy: 0.933, prior_entropy: 3.1321, recall: 0.933, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3697, scimark_benchmark: 1064.8317, usercpu_time_millis: 5400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1354.7191, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 1343.4596, usercpu_time_millis: 27050, usercpu_time_millis_testing: 12020, usercpu_time_millis_training: 15030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1354.3488, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8555, kappa: 0.8366, kb_relative_information_score: 83975.6356, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8589, predictive_accuracy: 0.8559, prior_entropy: 3.1321, recall: 0.8559, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4872, scimark_benchmark: 1313.5052, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 1315.933, usercpu_time_millis: 6000, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 1288.1375, usercpu_time_millis: 44690, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 43270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 938.0414, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8555, kappa: 0.8366, kb_relative_information_score: 83975.6356, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8589, predictive_accuracy: 0.8559, prior_entropy: 3.1321, recall: 0.8559, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4872, scimark_benchmark: 918.0213, usercpu_time_millis: 230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1341.5795, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9221, kappa: 0.9123, kb_relative_information_score: 87416.5419, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9221, predictive_accuracy: 0.9226, prior_entropy: 3.1321, recall: 0.9226, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3864, scimark_benchmark: 1314.7093, usercpu_time_millis: 1400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 1322.7257, usercpu_time_millis: 5680, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 5110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 940.3347, usercpu_time_millis: 32970, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 32530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1297.2338, usercpu_time_millis: 260, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 1260.1387, usercpu_time_millis: 5780, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1325.5735, usercpu_time_millis: 210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1360.6367, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1316.7198, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 1344.8832, usercpu_time_millis: 44820, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 43420,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs